 课程大纲:
        
    课程大纲:         MemSQL培训
Introduction
Overview of MemSQL
Understanding the MemSQL Architecture
Quick Start with MemSQL Using MemSQL Ops
Understanding Essential MemSQL Concepts
Overview of MemSQL Commands
        Working with Rowstore and Columnstore
        Implementing Data Distribution
        Using Shard Keys
        Implementing Distributed Joins
        Using Reference Tables
        Understanding Application Cluster Topologies
        Installing and Upgrading MemSQL
Designing a Cluster
        Doing Manual Installation
        Expanding a Cluster
        Implementing an Upgrade
        Securing MemSQL
        Working with Schema Design and Query Optimization
Working with Transactions
        Working with Geospatial Data
        Understanding Index Types
        Using Sparsity and Normalized Forms
        Hands-on: Using a Reference Table to Query JSON with Variant Array Lengths
        Working with Shard Key Strategies
        Identifying a Sharding Strategy
        Understanding Analyze, Explain, and Profile
        Implementing Schema Optimization for Query Performance
        Using Query Hints
        Diving Deep into Administering MemSQL Operations
Using the MemSQL Ops Command Line Interface
        Administering a Cluster
        Understanding Administrator Key Concepts
        Backing Up and Restoring Data
        Scaling Cluster Size
        Dealing with Cluster Failures
        Managing High Availability
        Monitoring MemSQL
        Working with the Trace Log
        Using Durability and Recovery
        Running Diagnostics
        Working with MemSQL Procedural SQL (MPSQL)
Using Table-Valued Functions
        Using User-Defined Functions
        Using User-Defined Aggregate Functions
        Using Stored Procedures
        Implementing Performance Benchmarking and Fine-Tuning
Using Experimental Metrics
        Performance Testing with dbbench
        Hands-on: Working with a Database Workload Generator
        Using Management Views
        Implementing Workload Profiling
        Hands-on: MemSQL Top
        Working with MemSQL Pipelines and Real-Time Data Ingestion
Using the MemSQL Connector for Apache Spark
        Using MemSQL Pipelines with Apache Kafka and AWS S3
        Creating Real-Time Applications
Working with Business Intelligence Dashboards
        Using MemSQL Pipelines for Machine Learning
        Implementing a Real-Time Dashboard
        Implementing Predictive Analytics
        Troubleshooting MemSQL
Summary and Conclusion
 
     
     
         
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